Disruption Management

2018 ◽  
pp. 249-283
Author(s):  
Shabnam Rezapour ◽  
Amirhossein Khosrojerdi ◽  
Golnoosh Rasoulifar ◽  
Janet K. Allen ◽  
Jitesh H. Panchal ◽  
...  
Keyword(s):  
Disruption Management

Robustness as a Method of Airline Pro-Active Disruption Management

2015 ◽  
Vol 8 (4) ◽  
pp. 151
Author(s):  
Stanislav Szabo ◽  
Dorota Liptáková ◽  
Iveta Vajdova
Keyword(s):  
Disruption Management

scholarly journals A next step in disruption management: combining operations research and complexity science

2021 ◽  
Author(s):  
Mark M. Dekker ◽  
Rolf N. van Lieshout ◽  
Robin C. Ball ◽  
Paul C. Bouman ◽  
Stefan C. Dekker ◽  
...  
Keyword(s):  
Operations Research ◽  
Complexity Science ◽  
Rolling Stock ◽  
Accurate Information ◽  
Disruption Management ◽  
Railway Systems ◽  
Decentralized Decision Making ◽  
Control Situations ◽  
Management Techniques ◽  
The Impact

AbstractRailway systems occasionally get into a state of being out-of-control, meaning that barely any train is running, even though the required resources (infrastructure, rolling stock and crew) are available. Because of the large number of affected resources and the absence of detailed, timely and accurate information, currently existing disruption management techniques cannot be applied in out-of-control situations. Most of the contemporary approaches assume that there is only one single disruption with a known duration, that all information about the resources is available, and that all stakeholders in the operations act as expected. Another limitation is the lack of knowledge about why and how disruptions accumulate and whether this process can be predicted. To tackle these problems, we develop a multidisciplinary framework combining techniques from complexity science and operations research, aiming at reducing the impact of these situations and—if possible—avoiding them. The key elements of this framework are (i) the generation of early warning signals for out-of-control situations, (ii) isolating a specific region such that delay stops propagating, and (iii) the application of decentralized decision making, more suited for information-sparse out-of-control situations.

Research on disruption management of urgent arrival in job shop with deteriorating effect

2021 ◽  
pp. 1-13
Author(s):  
Ning Tao ◽  
Duan Xiaodong ◽  
An Lu ◽  
Gou Tao
Keyword(s):  
Prospect Theory ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Quantum Particle ◽  
Particle Swarm ◽  
Cumulative Prospect Theory ◽  
Disruption Management ◽  
Particle Swarm Algorithm ◽  
Shop Scheduling ◽  
Management Method

A disruption management method based on cumulative prospect theory is proposed for the urgent with deteriorating effect arrival in flexible job shop scheduling problem (FJSP). First, the mathematical model of problem is established with minimizing the completion time of urgent order, minimizing the total process time of the system and minimizing the total cost as the target. Then, the cumulative prospect theory equation of the urgent arrival in job shop scheduling process is induced designed. Based on the selected model, an optimized multi-phase quantum particle swarm algorithm (MQPSO) is proposed for selecting processing route. Finally, using Solomon example simulation and company Z riveting shop example as the study object, the performance of the proposed method is analyzed. It is compared with the current common rescheduling methods, and the results verify that the method proposed in this paper not only meets the goal of the optimized objects, but improves the practical requirements for the stability of production and processing system during urgent arrival. Lastly, the optimized multiphase quantum particle swarm algorithm is used to solve disruption management of urgent arrival problem. Through instance analysis and comparison, the effectiveness and efficiency of urgent arrival disruption management method with deteriorating effect are verified.

scholarly journals Airline disruption management—Perspectives, experiences and outlook

2007 ◽  
Vol 13 (3) ◽  
pp. 149-162 ◽  
Author(s):  
Niklas Kohl ◽  
Allan Larsen ◽  
Jesper Larsen ◽  
Alex Ross ◽  
Sergey Tiourine
Keyword(s):  
Disruption Management

Nutzung von Flexibilitätspotenzialen im Störungsmanagement*/Potentials of flexibility in the disruption management of large-scale product assembly

2016 ◽  
Vol 106 (09) ◽  
pp. 631-636
Author(s):  
H. Prinzhorn ◽  
M. Zenker ◽  
R. Sporrer ◽  
P. Prof. Nyhuis
Keyword(s):  
Production System ◽  
Large Scale ◽  
Disruption Management ◽  
Short Term ◽  
The Impact ◽  
Product Assembly ◽  
Term Response

Die hohe Störfanfälligkeit bei der Montage großskaliger Produkte verlangt eine kurzfristige Auswahl von Maßnahmen zur Reaktion auf Störungen, um Auswirkungen wie Lieferterminverspätungen oder Auslastungsverluste zu reduzieren. Die Nutzung von Flexibilitätspotenzialen eines Produktionssystems stellt einen Ansatz dar, um diese Herausforderung zu bewältigen. Dieser Fachbeitrag zeigt auf, welche Flexibilitätspotenziale in diesem speziellen Umfeld zur Verfügung stehen und genutzt werden können.   Assembling large-scale products involves frequent process interruptions why in order to reduce the impact of interruptions, a short-term response is necessary to reduce delivery delays and idle times of resources. An approach for challenge this represents the flexibility of a production system. Regarding the environment of large-scale product assembly, it has to be shown which potentials of flexibility are able to use in a short-term manner.

Disruption Management using Robust Design in Supply Networks

2018 ◽  
pp. 195-224
Author(s):  
Shabnam Rezapour ◽  
Amirhossein Khosrojerdi ◽  
Golnoosh Rasoulifar ◽  
Janet K. Allen ◽  
Jitesh H. Panchal ◽  
...  
Keyword(s):  
Robust Design ◽  
Disruption Management ◽  
Supply Networks

scholarly journals Passenger Advice and Rolling Stock Rescheduling Under Uncertainty for Disruption Management

2018 ◽  
Vol 52 (6) ◽  
pp. 1391-1411 ◽  
Author(s):  
Evelien van der Hurk ◽  
Leo Kroon ◽  
Gábor Maróti
Keyword(s):  
Rolling Stock ◽  
Disruption Management

scholarly journals Positive Classroom Management: Effects of Disruption Management Climate on Behaviour and Satisfaction with Teacher // Clima positivo de gestión del aula: efectos del clima de gestión de la disrupción en el comportamiento y en la satisfacción con el profesorado

2015 ◽  
Vol 21 (1) ◽  
pp. 65-86 ◽  
Author(s):  
Cecilia Simón ◽  
Jesús Alonso-Tapia
Keyword(s):  
Classroom Management ◽  
Management Strategies ◽  
Teaching Quality ◽  
Disruption Management ◽  
Disruptive Behaviour ◽  
School Students ◽  
Study Analyse ◽  
Confirmatory Factor ◽  
Perceived Change

This study analyse the role of disruption management strategies and its effects, in interaction with the classroom motivational climate (CMC), on the decrease of disruptive behaviour and on the perception of teaching quality. For this purpose, the Disruption Management Climate Questionnaire (DMCQ) was developed. A total of 827 Secondary-School students formed the sample. To validate the DMCQ, confirmatory factor and regression analyses were realised. Children’s attribution to teacher’s coping strategies of decrease in disruptive behaviour, and of perceived change in satisfaction with teacher’s work as an index of teaching quality, were used as external criteria. Results support hypotheses related to DMCQ structure, and to its role as predictor of the degree of disruption decrease, but not the hypothesis related to satisfaction with teachers’ work, that depends mainly on CMC. These results underlie the importance of acting on DMCQ and CMC components to favour the teacher practices.

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